Publications by authors named "M R Siegel"

A 75-year-old patient with autosomal dominant polycystic kidney disease (ADPKD) and hypertension was admitted to the hospital with abdominal pain secondary to a choledochal cyst resulting in biliary dilation. His hospital course was complicated by pneumonia, encephalopathy, and lower gastrointestinal bleeding (LGIB) that initially did not lead to hemodynamic compromise. To further evaluate the LGIB, a colonoscopy was performed, during which he experienced significant hypotension after being placed in the supine position and given anesthesia.

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Background: Alterations in cellular metabolism affect cancer survival and can manifest in metrics of body composition. We investigated the effects of various body composition metrics on survival in patients with glioblastoma (GBM).

Methods: We retrospectively analyzed patients who had an abdominal and pelvic computed tomography (CT) scan performed within 1 month of diagnosis of GBM (178 participants, 102 males, 76 females, median age: 62.

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Over 32,000 mpox cases were identified in the United States (US) within one year of the start of the global outbreak in 2022. Research on how the mpox outbreak affected individuals' lives is limited. We analyzed qualitative and quantitative cross-sectional survey data collected from 60 participants in August 2022 to (1) describe mpox-related psychosocial and behavioral impacts among adults in the US and (2) explore differences in mpox-related impacts by HIV status.

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Introduction: The medial patellofemoral ligament (MPFL) is the main patellar stabilizer in low knee flexion degrees (0-30°). Isolated MPFL reconstruction (MPFLr) is therefore considered the gold standard of surgical procedures for low flexion patellofemoral instabilities (PFIs). Despite excellent clinical results, little is known about the effect of MPFLr on kinematic parameters (KPs) of the patellofemoral joint in vivo.

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Understanding how visual information is encoded in biological and artificial systems often requires the generation of appropriate stimuli to test specific hypotheses, but available methods for video generation are scarce. Here we introduce the spatiotemporal style transfer (STST) algorithm, a dynamic visual stimulus generation framework that allows the manipulation and synthesis of video stimuli for vision research. We show how stimuli can be generated that match the low-level spatiotemporal features of their natural counterparts, but lack their high-level semantic features, providing a useful tool to study object recognition.

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